Instructions to use HJOK/serialize_BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HJOK/serialize_BERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="HJOK/serialize_BERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("HJOK/serialize_BERT") model = AutoModel.from_pretrained("HJOK/serialize_BERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0387a2223376af6b1c17badf4070576161ff7b3bf544556ba41141f340f550cd
- Size of remote file:
- 438 MB
- SHA256:
- 92ae9071d455dd75b20c30662805c9001077f8851b2739959def646225f717a4
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